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trivialfis avatar trivialfis commented on May 23, 2024

My initial guess is that you have different versions of XGBoost between driver and worker nodes

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mhmotamedi avatar mhmotamedi commented on May 23, 2024

@trivialfis Could using different versions of PySpark result in this issue? verified that the xgboost version is consistent on both the driver and worker nodes (==2.0.3). Are there any specific PySpark version requirements for xgboost 2.0.3?

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trivialfis avatar trivialfis commented on May 23, 2024

Different versions of pyspark between driver and worker? I'm general, all nodes should have the exact same Python environment.

cc @WeichenXu123

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mhmotamedi avatar mhmotamedi commented on May 23, 2024

@trivialfis Upon examining the executor pods, it became clear that the root cause of the error was a mismatch in the XGBoost version between the master and worker nodes, as you initially suggested. Thanks.

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